Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach

Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with...

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Autores principales:	Aliyeh Kazemi, Sepideh Afshari
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2016
Materias:	evaluation of complexity project management large-scale construction projects multi attribute decision making fuzzy analytic network process Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/3aa63c5292d04fa1867913be427e45e1
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spelling	oai:doaj.org-article:3aa63c5292d04fa1867913be427e45e12021-11-08T15:45:57ZEvaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach2476-39772538-2616https://doaj.org/article/3aa63c5292d04fa1867913be427e45e12016-09-01T00:00:00Zhttps://www.jsce.ir/article_38577_33e834e4f831b4b0bbed78bf1c87a12b.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with good source to use. Fuzzy analytic network process (ANP) is a logical and systematic approach toward defining, evaluation, and grading. This method allows for analyzing complex systems, and determining complexity of them. In this study, by taking advantage of fuzzy ANP, effective indexes for development of complications in large-scale construction projects in Iran have been determined and prioritized. The results show socio-political, project system interdependencies, and technological complexity indexes ranked top to three. Furthermore, in comparison of three main huge projects: commercial-administrative, hospital, and skyscrapers, the hospital project had been evaluated as the most complicated. This model is beneficial for professionals in managing large-scale projects.Aliyeh KazemiSepideh AfshariIranian Society of Structrual Engineering (ISSE)articleevaluation of complexityproject managementlarge-scale construction projectsmulti attribute decision makingfuzzy analytic network processBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 3, Iss 2, Pp 101-112 (2016)
institution	DOAJ
collection	DOAJ
language	FA
topic	evaluation of complexity project management large-scale construction projects multi attribute decision making fuzzy analytic network process Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	evaluation of complexity project management large-scale construction projects multi attribute decision making fuzzy analytic network process Bridge engineering TG1-470 Building construction TH1-9745 Aliyeh Kazemi Sepideh Afshari Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
description	Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with good source to use. Fuzzy analytic network process (ANP) is a logical and systematic approach toward defining, evaluation, and grading. This method allows for analyzing complex systems, and determining complexity of them. In this study, by taking advantage of fuzzy ANP, effective indexes for development of complications in large-scale construction projects in Iran have been determined and prioritized. The results show socio-political, project system interdependencies, and technological complexity indexes ranked top to three. Furthermore, in comparison of three main huge projects: commercial-administrative, hospital, and skyscrapers, the hospital project had been evaluated as the most complicated. This model is beneficial for professionals in managing large-scale projects.
format	article
author	Aliyeh Kazemi Sepideh Afshari
author_facet	Aliyeh Kazemi Sepideh Afshari
author_sort	Aliyeh Kazemi
title	Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
title_short	Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
title_full	Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
title_fullStr	Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
title_full_unstemmed	Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach
title_sort	evaluation model of project complexity for large-scale construction projects in iran - a fuzzy anp approach
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2016
url	https://doaj.org/article/3aa63c5292d04fa1867913be427e45e1
work_keys_str_mv	AT aliyehkazemi evaluationmodelofprojectcomplexityforlargescaleconstructionprojectsiniranafuzzyanpapproach AT sepidehafshari evaluationmodelofprojectcomplexityforlargescaleconstructionprojectsiniranafuzzyanpapproach
_version_	1718441650142838784

Evaluation model of project complexity for large-scale construction projects in Iran - A Fuzzy ANP approach

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